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dc.contributor.authorKoutsombogera, Mariaen
dc.contributor.authorVogel, Carlen
dc.contributor.authorCampbell, Nicken
dc.contributor.authorConlan, Owenen
dc.date.accessioned2020-01-29T12:22:12Z
dc.date.available2020-01-29T12:22:12Z
dc.date.issued2020en
dc.date.submitted2020en
dc.identifier.citationHaider, Fasih and Koutsombogera, Maria and Conlan, Owen and Vogel, Carl and Campbell, Nick and Luz, Saturnino, An Active Data Representation of Videos for Automatic Scoring of Oral Presentation Delivery Skills and Feedback Generation, Frontiers in Computer Science, 2, 2020, 1en
dc.identifier.issn2624-9898en
dc.identifier.otherYen
dc.identifier.urihttps://www.frontiersin.org/articles/10.3389/fcomp.2020.00001/full
dc.identifier.urihttp://hdl.handle.net/2262/91412
dc.descriptionPUBLISHEDen
dc.description.abstractPublic speaking is an important skill, the acquisition of which requires dedicated and time consuming training. In recent years, researchers have started to investigate automatic methods to support public speaking skills training. These methods include assessment of the trainee's oral presentation delivery skills which may be accomplished through automatic understanding and processing of social and behavioral cues displayed by the presenter. In this study, we propose an automatic scoring system for presentation delivery skills using a novel active data representation method to automatically rate segments of a full video presentation. While most approaches have employed a two step strategy consisting of detecting multiple events followed by classification, which involve the annotation of data for building the different event detectors and generating a data representation based on their output for classification, our method does not require event detectors. The proposed data representation is generated unsupervised using low-level audiovisual descriptors and self-organizing mapping and used for video classification. This representation is also used to analyse video segments within a full video presentation in terms of several characteristics of the presenter's performance. The audio representation provides the best prediction results for self-confidence and enthusiasm, posture and body language, structure and connection of ideas, and overall presentation delivery. The video data representation provides the best results for presentation of relevant information with good pronunciation, usage of language according to audience, and maintenance of adequate voice volume for the audience. The fusion of audio and video data provides the best results for eye contact. Applications of the method to provision of feedback to teachers and trainees are discussed.en
dc.format.extent1en
dc.language.isoenen
dc.relation.ispartofseriesFrontiers in Computer Scienceen
dc.relation.ispartofseries2en
dc.rightsYen
dc.subjectMultimodal learning analyticsen
dc.subjectSocial signal processingen
dc.subjectFeature extractionen
dc.subjectMultimedia signal processingen
dc.subjectVideo analysis and summarizationen
dc.subjectMachine learningen
dc.titleAn Active Data Representation of Videos for Automatic Scoring of Oral Presentation Delivery Skills and Feedback Generationen
dc.typeJournal Articleen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.sponsorOtheren
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/koutsommen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/nicken
dc.identifier.peoplefinderurlhttp://people.tcd.ie/owconlanen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/vogelen
dc.identifier.rssinternalid211174en
dc.identifier.doihttp://dx.doi.org/10.3389/fcomp.2020.00001en
dc.relation.ecprojectidinfo:eu-repo/grantAgreement/EC/FP7/769661
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumber769661en
dc.contributor.sponsorGrantNumber701621en


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